Assessment of agricultural sustainability performance in Dali Prefecture, China using the DPSIR Model

Urbanization and ecological efforts in China have significantly altered agricultural land use affecting both the quantity and quality of arable land. There has been a rise in the use of energy, fertilizers, pesticides, and plastic films to enhance production. However, these unsustainable farming pra...

Full description

Saved in:
Bibliographic Details
Main Authors: Yishan Chen, Harison Kiplagat Kipkulei, Zhiqiang Xie, Stefan Sieber
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Agricultural Sustainability
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/14735903.2024.2401201
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Urbanization and ecological efforts in China have significantly altered agricultural land use affecting both the quantity and quality of arable land. There has been a rise in the use of energy, fertilizers, pesticides, and plastic films to enhance production. However, these unsustainable farming practices have led to higher greenhouse gas emissions and the risk of agricultural non-point source pollution. The Yunnan Province government aims for sustainable agriculture to enhance product quality and China’s green farming. Yunnan’s proximity to the Yangtze, Lancang, and Yuan Rivers makes agriculture vital for the downstream livelihoods and biodiversity. This study explored factors affecting agriculture in Dali Prefecture, Yunnan Province. The study proposed a comprehensive system of 33 indexes to assess agricultural sustainability performance using the Driver-Pressure-State-Impact-Response framework. It employed a composite weight method combining the Analytic Hierarchy Process and Entropy Weight methods. The assessment showed that all counties except Dali City scored a performance index below 0.5. Furthermore, the “Response” indicator was found to be crucial in advancing agricultural sustainability. Conversely, factors leading to unsustainable changes, like “Driver” were less significant. The study reveals that data statistics prioritize indexes related to land resources while experts emphasize indexes linked to socioeconomic status when assessing agricultural sustainability.
ISSN:1473-5903
1747-762X